jamovi

Can you help me with this please... I have a set of 20 patients (rows). Each of them was measured tooth enamel light absorbance and i have a table with absorbances for each wavelength (columns). We are talking around 4000 data cells for each patient. When I enter PCA and add those variables (wavelen...

Thanks for the answer... I also think that Apple are jerks (although Tim Cook is a much nicer guy than Steve Jobs... but he's not a revolutionary... just an extremely competent executive), but their products are pretty good... The switch to ARM architecture was pretty slick and improved battery life...

So... The title is self explanatory

How well does jamovi work? Is emulation fast enough? Or perhaps we'll see a ARM native version soon?

Thanks... Keep up the good work

Thanks... Found it. Really like it so far. If I find any bugs, will report it!

Hey folks, the update has been pushed to jamovi. The DIF table error is gone, a crude DeLong test for differences between AUC's has been added, and the ability to combine ROC plots into a single image has been added. Please try it out and let me know your thoughts! Thanks! I just need to find it wh...

Thanks for all the hard work!

Wow! That looks great!
Thanks!

And here is the website where I "steal" R code I need to get ROC curves I need


https://rpubs.com/Wangzf/pROC

Of course... if you change col to ="#000000" lines will be black

Hello guys This is the code that I used: To clarify: Volumen = name of the dataset that I used Responder = name of the response variable (0 or 1) CVP, PPV, PCWP, SVV = predictor variables (continuous) rocCVP <- roc (Volumen$Responder, Volumen$CVP, percent = TRUE) rocPPV <- roc (Volumen$Responder, Vo...